Brain Informatics [electronic resource] : 12th International Conference, BI 2019, Haikou, China, December 13-15, 2019, Proceedings / edited by Peipeng Liang, Vinod Goel, Chunlei Shan.
Contributor(s): Liang, Peipeng [editor.] | Goel, Vinod [editor.] | Shan, Chunlei [editor.] | SpringerLink (Online service).
Material type: BookSeries: Lecture Notes in Artificial Intelligence: 11976Publisher: Cham : Springer International Publishing : Imprint: Springer, 2019Edition: 1st ed. 2019.Description: XV, 274 p. 145 illus., 87 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783030370787.Subject(s): Artificial intelligence | Data mining | Computer science | Image processing -- Digital techniques | Computer vision | Artificial Intelligence | Data Mining and Knowledge Discovery | Models of Computation | Computer Imaging, Vision, Pattern Recognition and GraphicsAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access online In: Springer Nature eBookSummary: This book constitutes the refereed proceedings of the 12th International Conference on Brain Informatics, BI 2019, held in Haikou, China, in December 2019. The 26 revised full papers were carefully reviewed and selected from 36 submissions. The papers are organized in the following topical sections: cognitive and computational foundations of brain science; human information processing systems; brain big data analysis, curation and management; informatics paradigms for brain and mental health research; and brain-machine intelligence and brain-inspired computing. Also included is a special session on computational social analysis for mental health.This book constitutes the refereed proceedings of the 12th International Conference on Brain Informatics, BI 2019, held in Haikou, China, in December 2019. The 26 revised full papers were carefully reviewed and selected from 36 submissions. The papers are organized in the following topical sections: cognitive and computational foundations of brain science; human information processing systems; brain big data analysis, curation and management; informatics paradigms for brain and mental health research; and brain-machine intelligence and brain-inspired computing. Also included is a special session on computational social analysis for mental health.
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